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News: India AI Mission Unveils Indigenous Foundation Models, EKA-1 by Soket and Dhīr 2B & Dhīr 5B by ZenteiQ, under the IndiaAI Innovation Centre Pillar.
About Indigenous Foundation Models – EKA-1 by Soket and Dhīr 2B & Dhīr 5B by ZenteiQ

- The IndiaAI Mission released the indigenous foundation models EKA-1 and Dhīr (Dhīr 2B & Dhīr 5B).
- Nodal Ministry: Ministry of Electronics and Information Technology (MeitY)
- About Models EKA-1:
- It has been built as an open, sparse hybrid language model.
- Developed by: It is developed by Soket Labs Technology and Research Private Limited.
- Features:
- It a powerful Foundation Model featuring 26.3 billion parameters and trained on approximately 7.5 trillion tokens.
- It demonstrates advanced capabilities, spanning all 22 scheduled Indian languages alongside English.
- It is designed for math, code, reasoning, and agentic use.
- Application: It is an advanced AI model specifically tailored to India’s unique banking, financial services and cybersecurity landscape.
- It is designed to address sector-specific requirements, understand India’s evolving digital ecosystem, and deliver solutions aligned with the country’s needs and priorities.”
- About Dhīr (Dhīr 2B & Dhīr 5B):
- It is an open-source models.
- Developed by: It is developed by ZenteiQ AiTech Innovations.
- Features: These models can be deployed as secure, on-premise, multilingual assistants supporting English and 10 Indian languages.
- It offer the flexibility to run across different computing platforms, including GPUs and TPUs.
- Their lightweight architecture also enables on-device deployment on mobile phones, without dependence on cloud connectivity.
- This allows users to access AI capabilities locally while keeping data on their devices, enhancing privacy, security and accessibility.
- Application: It enable offline-capable, document-grounded automation, knowledge retrieval, and citizen or enterprise services across defence, government, industrial, and educational sectors particularly in low-connectivity or sensitive environments.



